# Copyright (c) 2023-2024 Huawei Technologies Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from msit_llm.opcheck import operation_test


class OpcheckSetValueOperation(operation_test.OperationTest):
    def golden_calc(self, in_tensors):
        starts = self.op_param.get("starts", None)
        ends = self.op_param.get("ends", None)
        strides = self.op_param.get("strides", None)
        golden_result = [in_tensors[0].clone(), in_tensors[1].clone()]
        for i, _ in enumerate(starts):
            self.validate_int_range(strides[i], [1], "strides") # 当前仅支持strides为全1
            golden_result[0][starts[i]:ends[i]:strides[i]].copy_(in_tensors[1])
        return golden_result

    def test(self):
        ret = self.validate_param("starts", "ends", "strides")
        if not ret:
            return
        self.execute()